One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).
What problem does this present?

• A.All parameter estimates are biased.
• B.Only the non-intercept parameter estimates are biased.
• C.Sensitivity estimates are biased.
• D.Only the intercept estimate is biased.

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What is the default method in the LOGISTIC procedure to handle observations with missing data?

• A.Missing values are imputed.
• B.Parameters are estimated accounting for the missing values.
• C.Parameter estimates are made on all available data.
• D.Only cases with variables that are fully populated are used.

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Refer to the exhibit:

The box plot was used to analyze daily sales data following three different ad campaigns.
The business analyst concludes that one of the assumptions of ANOVA was violated.
Which assumption has been violated and why?

• A.Constant variance, because Prob > F < .0001.
• B.Normality, because Prob > F < .0001.
• C.Constant variance, because the interquartile ranges are different in different ad campaigns.
• D.Normality, because the interquartile ranges are different in different ad campaigns.

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Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?

• A.Use the SCORE statement in the LOGISTIC procedure.
• B.Augment the training data set with new observations and set their responses to missing.
• C.Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.
• D.Augment the training data set with new observations and rerun the LOGISTIC procedure.

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Refer to the exhibit:

Which SAS program produced the graph?

• A.
• B.
• C.
• D.

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